---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: ckt1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ckt1

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9517

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 1.9943          |
| No log        | 2.0   | 2    | 1.9329          |
| No log        | 3.0   | 3    | 1.8768          |
| No log        | 4.0   | 4    | 1.8236          |
| No log        | 5.0   | 5    | 1.7748          |
| No log        | 6.0   | 6    | 1.7300          |
| No log        | 7.0   | 7    | 1.6890          |
| No log        | 8.0   | 8    | 1.6514          |
| No log        | 9.0   | 9    | 1.6152          |
| No log        | 10.0  | 10   | 1.5820          |
| No log        | 11.0  | 11   | 1.5501          |
| No log        | 12.0  | 12   | 1.5189          |
| No log        | 13.0  | 13   | 1.4888          |
| No log        | 14.0  | 14   | 1.4590          |
| No log        | 15.0  | 15   | 1.4322          |
| No log        | 16.0  | 16   | 1.4058          |
| No log        | 17.0  | 17   | 1.3810          |
| No log        | 18.0  | 18   | 1.3556          |
| No log        | 19.0  | 19   | 1.3308          |
| No log        | 20.0  | 20   | 1.3066          |
| No log        | 21.0  | 21   | 1.2823          |
| No log        | 22.0  | 22   | 1.2586          |
| No log        | 23.0  | 23   | 1.2353          |
| No log        | 24.0  | 24   | 1.2135          |
| No log        | 25.0  | 25   | 1.1919          |
| No log        | 26.0  | 26   | 1.1719          |
| No log        | 27.0  | 27   | 1.1529          |
| No log        | 28.0  | 28   | 1.1349          |
| No log        | 29.0  | 29   | 1.1180          |
| No log        | 30.0  | 30   | 1.1012          |
| No log        | 31.0  | 31   | 1.0854          |
| No log        | 32.0  | 32   | 1.0700          |
| No log        | 33.0  | 33   | 1.0561          |
| No log        | 34.0  | 34   | 1.0429          |
| No log        | 35.0  | 35   | 1.0313          |
| No log        | 36.0  | 36   | 1.0208          |
| No log        | 37.0  | 37   | 1.0112          |
| No log        | 38.0  | 38   | 1.0024          |
| No log        | 39.0  | 39   | 0.9942          |
| No log        | 40.0  | 40   | 0.9869          |
| No log        | 41.0  | 41   | 0.9804          |
| No log        | 42.0  | 42   | 0.9745          |
| No log        | 43.0  | 43   | 0.9694          |
| No log        | 44.0  | 44   | 0.9649          |
| No log        | 45.0  | 45   | 0.9611          |
| No log        | 46.0  | 46   | 0.9580          |
| No log        | 47.0  | 47   | 0.9555          |
| No log        | 48.0  | 48   | 0.9536          |
| No log        | 49.0  | 49   | 0.9523          |
| No log        | 50.0  | 50   | 0.9517          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2